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Online Master's in Data Analytics 

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  • Institute Icon400 acre campus
  • Estd. 1868

Online Master's in Data Analytics
 at 
OSU 
Overview

Gain a comprehensive overview of Data Analytics

Duration

1.5 - 2 years

Total fee

14,400

Mode of learning

Online

Official Website

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Course Level

PG Degree

Online Master's in Data Analytics
 at 
OSU 
Highlights

  • This Course is offered by the Oregon State University
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Online Master's in Data Analytics
 at 
OSU 
Course details

More about this course
  • In Oregon State University's online Master of Science in Data Analytics program, you'll explore real data problems that are interesting and challenging as you equip yourself with the quantitative tools and skills needed to gather, analyze and interpret data on large and small scales
  • All courses in this program were developed and are taught by full-time Oregon State faculty members, and the coursework integrates OSU's strengths in statistics, computer science, mathematics, policy and applied sciences such as genomics
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Online Master's in Data Analytics
 at 
OSU 
Faculty details

Sharmodeep Bhattacharyya
I am an Assistant Professor in Department of Statistics, Oregon State University. Before joining Oregon State University in Spring 2015, I was a post-doctoral research scholar in Department of Statistics, University of California, Berkeley. I am also involved in projects with Life Sciences Division, Lawrence Berkeley National Laboratory. I completed my PhD in Statistics from University of California, Berkeley in 2013 under supervision of Prof. Peter J. Bickel. Before that, I completed B.Stat and M.Stat from Indian Statistical Institute, Kolkata.
Yanming Di
Di, Y. (2015), "Single-gene negative binomial regression models for RNA-Seq data with higher-order asymptotic inference," Statistics and Its Interface, 8, 405-418. [https://www.intlpress.com/site/pub/pages/journals/items/sii/content/vols/0008/0004/a001/] Mi, G. and Di, Y. (2015), "The Level of Residual Dispersion Variation and the Power of Differential Expression Tests for RNA-Seq Data," PLoS ONE, 10(4). [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0120117] Jiang, Y., Emerson, S., Wang, L., Li, L., and Di, Y. (2014), "Family-based association test using normal approximation to gene dropping null distribution," BMC Proceedings, 8(Supp 1), S18. [https://bmcproc.biomedcentral.com/articles/10.1186/1753-6561-8-S1-S18] Di, Y., Schafer, D. W., Emerson, S. C., and Chang, J. H. (2013), "Higher order asymptotics for negative binomial regression inferences from RNA-sequencing data," Stat Appl Genet Mol Biol, 12(1), 49-70. [http://dx.doi.org/10.1515/sagmb-2012-0071] Di, Y., Schafer, D. W., Cumbie, J. S., and Chang, J. H. (2011), "The NBP Negative Binomial Model for Assessing Differential Gene Expression from RNA-Seq," Statistical Applications in Genetics and Molecular Biology, 10(1). [http://dx.doi.org/10.2202/1544-6115.1637]
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Online Master's in Data Analytics
 at 
OSU 
Entry Requirements

General
Requirements for 12th gradeUp Arrow Icon
  • No specific cutoff mentioned
GraduationUp Arrow Icon
  • CGPA - 3/4
IELTSUp Arrow Icon
  • Marks - 6.5/9
Conditional OfferUp Arrow Icon
  • Yes

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Online Master's in Data Analytics
 at 
OSU 
Contact Information

Address

1500 SW Jefferson St.
Corvallis

Corvallis ( Oregon)

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